Textbook is available (but only printable/downloadable by chapter) here:
Deep Learning, by Ian Goodfellow and Yoshua Bengio, MIT Press, 2016
Other links of interest:
- Deep Learning is the #1 top-paying job in the gig-economy
- Glassdoor (Data Scientist is #1 Best Job in America)
- What on earth is data science?
- TensorFlow Playground
- Top 5 Deep Learning Architectures
- An Analysis of Deep Neural Network Models for Practical Applications
- How to build your own Neural Network from scratch in Python
- Tumbling down the SGD rabbit hole?—?part 1
- Toward Theoretical Understanding of Deep Learning
- Software 2.0
- 37 Reasons why your Neural Network is not working
- Tutorial on Python, NumPy and SciPy
- Python Tricks 101
- NumPy Array Manipulation Routines
- MNIST Database of handwritten digits
- ImageNet database of labeled images and ILSVRC
- Christopher Olah’s blog on MNIST visualization and clustering
- Google AI Projects
- How to Use t-SNE Effectively
- TensorFlow website
- Hands-On Machine Learning with Scikit-Learn and TensorFlow
- First Contact with TensorFlow
- Neural Networks and Deep Learning (free online book)
- Deep Learning (free online book)
- Watershed Paper on DCNNs (AlexNet)
- Stanford CS231n Intro to DCNNs
- Nervana tutorial on DCNNs
- Deep Learning and Convolutional Neural Nets in Plain English
- Understanding Convolutional Neural Networks for Natural Language Processing